Amazon cover image
Image from Amazon.com

The Strategic analysis cycle handbook : how advanced data collection and analysis underpins winning strategies / Erik Elgersma

By: Material type: TextTextPublication details: London, United Kingdom : LID, c2017Description: 656 pages : illustrations ; 24 cmISBN:
  • 9781911498360
Subject(s): LOC classification:
  • HD 30.28 .E44 2017
Contents:
Chapter 1. Introduction -- 2. Briefing and project brief -- 3. Attributes of sources and the collection plan -- 4. People: Collection from friendly or neutral sources -- 5. People: collection from unsuspecting sources -- 6. Papers: Collection from Public domain sources -- 7. Pictures: Collection of data from images -- 8. Products of data from things -- 9. Analysis -- 10. Input data quality assurance -- 11. Data-set preparation -- 12. Common issues in data set processing -- 13. Hypothesis formulation and testing -- 14. Analytical pitfalls -- 15. Reporting -- 16. Analyst decision-maker interaction -- 17. Social biases in decision-making -- 18. Ethics and compliance in data collection -- 19. Data management and retrieval -- 20. Organizing a strategic analysis function -- 21. Profile of a strategy analyst.
Summary: This is an authoritative and practical guide to collecting, analyzing and managing data, to enable managers and companies to develop successful business strategies. Data has become a dominant factor in today’s business environment. This book, written by a leading practitioner, explains the underpinning nature of data for a company’s business strategy. The book begins with data collection: getting data is no big deal; getting the right data to win in the market is. It moves on to data analysis: turning data into actionable intelligence is what drives and determines competitive advantage. And, finally, managing data: how to organize your data collection and analysis to create winning strategies. This is a definitive book about one of the most important topics in today’s digital and data-driven economy.
Item type: Books - Reference
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books - Reference Books - Reference National University - Manila LRC - Annex II Reference Management Accounting REF HD 30.28 .E44 2017 (Browse shelf(Opens below)) c.1 Available NULIB000018567

Includes bibliographical references.

Chapter 1. Introduction -- 2. Briefing and project brief -- 3. Attributes of sources and the collection plan -- 4. People: Collection from friendly or neutral sources -- 5. People: collection from unsuspecting sources -- 6. Papers: Collection from Public domain sources -- 7. Pictures: Collection of data from images -- 8. Products of data from things -- 9. Analysis -- 10. Input data quality assurance -- 11. Data-set preparation -- 12. Common issues in data set processing -- 13. Hypothesis formulation and testing -- 14. Analytical pitfalls -- 15. Reporting -- 16. Analyst decision-maker interaction -- 17. Social biases in decision-making -- 18. Ethics and compliance in data collection -- 19. Data management and retrieval -- 20. Organizing a strategic analysis function -- 21. Profile of a strategy analyst.

This is an authoritative and practical guide to collecting, analyzing and managing data, to enable managers and companies to develop successful business strategies. Data has become a dominant factor in today’s business environment. This book, written by a leading practitioner, explains the underpinning nature of data for a company’s business strategy. The book begins with data collection: getting data is no big deal; getting the right data to win in the market is. It moves on to data analysis: turning data into actionable intelligence is what drives and determines competitive advantage. And, finally, managing data: how to organize your data collection and analysis to create winning strategies. This is a definitive book about one of the most important topics in today’s digital and data-driven economy.

There are no comments on this title.

to post a comment.